A survey of identification and mitigation of machine learning algorithmic biases in image analysis

L Risser, A Picard, L Hervier, JM Loubes - arXiv preprint arXiv:2210.04491, 2022 - arxiv.org
The problem of algorithmic bias in machine learning has gained a lot of attention in recent
years due to its concrete and potentially hazardous implications in society. In much the same …

[HTML][HTML] Adaptive adversarial augmentation for molecular property prediction

S Cho, S Hong, JJ Jeon - Expert Systems with Applications, 2025 - Elsevier
This paper introduces a novel adversarial data augmentation technique that enhances the
performance of molecular property prediction tasks. The proposed method, Adversarial …

Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning

L Risser, AM Picard, L Hervier, JM Loubes - Algorithms, 2023 - mdpi.com
The problem of algorithmic bias in machine learning has recently gained a lot of attention
due to its potentially strong impact on our societies. In much the same manner, algorithmic …

Prediction of the Wear Intensity of Rolling Guides with the Use of a Neural Network

J Krajewska-Śpiewak, Ł Serwatka, J Gawlik - International Conference on …, 2023 - Springer
In modern solutions of machine tools and technological devices for precision machining,
rolling guides are used. Their advantages are low resistance to movement and the …

Cracow University of Technology, Cracow, Poland joanna. krajewska-spiewak@ pk. edu. pl

J Krajewska-Śpiewak, Ł Serwatka… - Intelligent Systems in …, 2023 - books.google.com
In modern solutions of machine tools and technological devices for precision machining,
rolling guides are used. Their advantages are low resistance to movement and the …